TimeseriesML allows for the precise representation of a sequence of data values that are ordered in time - and now supports changing periodicity.
18 February 2020: The Open Geospatial Consortium (OGC) seeks public comment on version 1.3 of the TimeseriesML standard. TimeseriesML is an XML Encoding of the Timeseries Profile of Observations and Measurements, and is used for the representation of observations as ‘timeseries’ - that is, a sequence of data values that are ordered in time. TimeseriesML supports observations tagged with location, but is equally useful for applications that aren’t concerned with location.
The core aspect of the Timeseries Profile of Observations and Measurements is the correct, precise description of timeseries. The intent of TimeseriesML is to enable the exchange of precise timeseries datasets across information systems.
Through the use of existing OGC standards, TimeseriesML provides an interoperable exchange format that may be re-used to address a range of data exchange requirements and scenarios. Example areas of usage are: cross-border exchange of observational and/or forecast data; release of data for public dissemination; enhancing disaster management through data exchange; and exchange in support of national reporting.
Version 1.3 of TimeseriesML adds an optional ‘TimeseriesMetadata’ property as a specific count of the number of time steps in a timeseries, or each homogeneous (regularly...